7 Best Data Analytics Courses Online Free For Beginners

Finding the best data analytics course can be a daunting task. With numerous options available, choosing a system that provides comprehensive knowledge and practical skills in this rapidly growing field is crucial. Clive Humby put it as:

“Data is the new oil.”

Since data analytics has become an unnoticeable part of the business world. With the increasing availability of data, many organizations want professionals to analyze and interpret this data. It helps them to make informed decisions.

In this blog, I will discuss data analytics courses that stood out and helped me enhance my skills in this thriving industry. Having a professional background in the world of data analytics, I’m here to share my experience and insights on the best courses.

While taking these courses, I gained a deep understanding of data analytics techniques and tools. The instructors encouraged active participation and provided valuable feedback, enhancing my learning experience.

Additionally, the courses offered practical assignments and projects, allowing me to apply the concepts I learned to real data sets. 

Why Do You Need a Best Data Analytics Course?

If you’re curious about making a mark in the world of data analysis, a course is pretty much a must-have. Nowadays, every smart business is using data to make better choices and stay ahead of the game. A good course will give you the toolkit you need to pull out important data.

As the buzz around data analytics isn’t just hype; there’s a real hunger for people who know how to sift through data mountains and find the golden nuggets of insight.

Yet, businesses from all sorts of sectors—be it finance, marketing, healthcare, or tech—are on the hunt for skilled folks who can turn data into smart decisions.

Are you eager to delve into the world of data? Explore the realms of knowledge with data science training, analytics certification, and big data courses. Enrich your skills through machine learning classes and business intelligence programs. Unlock the secrets of data visualization in workshops and master the art of data mining. Your journey to data expertise starts here!

Taking a data analytics course helps you learn how to make decisions based on real information, rather than just gut feelings. This is super important for anyone looking to get better at solving problems at work and helping their company do well.

So, if you get the hang of data analytics, you’re not just learning a skill; you’re setting yourself up for a wealth of job opportunities in various fields.

Who can Jump Into a Data Analytics Course?

Anyone interested in data analytics can jump into a data analytics course. There are no specific prerequisites for joining a data analytics course, although having a basic understanding of mathematics and statistics can be a plus.

Interested in mastering data skills? Explore statistical analysis, predictive analytics, and SQL for data analysis. Dive into Python for data science, discover R programming courses, and boost your career with Tableau training. Don’t miss out on Hadoop certification for comprehensive big data expertise. Start your journey today!

Here’s a quick view for those who want to enter it:

IT Professionals:

Individuals already working in Information Technology can easily transition into data analytics courses. They have a strong foundation in programming, database management, and problem-solving skills, which are essential for data analysis.

Statistics and Mathematics Graduates:

Graduates with a background in statistics or mathematics have a solid understanding of statistical concepts and mathematical principles. This knowledge is invaluable in data analytics, as it helps interpret data, identify trends, and make accurate predictions.

Business Professionals:

Professionals working in business-related roles, such as marketing, finance, or operations, can significantly benefit from data analytics courses. By learning to analyze data effectively, they can make more informed decisions, optimize business strategies, and identify new opportunities.

Career Changers:

Individuals who switch careers can also jump into data analytics courses. Regardless of their previous professional background, with the proper training, they can acquire the necessary skills to enter the field of data analytics.

Entrepreneurs and Business Owners:

Individual business owners who want to gain a competitive edge can benefit from data analytics courses. By leveraging data-driven insights, they can make better business decisions, optimize operations, and identify growth opportunities. 

7 Things to Consider Before Starting a Data Analytics Course

The next question you may ask is: What are the points to take while pursuing a course?

So, when considering starting a data analytics course, several important factors must be considered. These considerations will help you make an informed decision and ensure the course aligns with your goals and expectations.

In today’s fast-paced world, data is the driving force behind informed decisions. Unlock the power of data with workshops on data warehousing, cloud-based analytics courses, and data management certification. Elevate your skills in quantitative analysis through Excel for data analytics. Embrace data-driven decision-making for a successful future.

Here are seven things to consider before starting on any data analytics course:

Skill Level

First of all, assess your current skill level in data analytics. Determine whether you are a beginner, intermediate, or advanced learner. This will help you select a course suitable for your skill level and ensure you save time and money. It can be on a system that is either too basic or too advanced for you.

Course Content

Secondly, evaluate the course content and curriculum. Look for courses that cover a wide range of topics, including statistical analysis, data visualization, machine learning, and data mining. Consider that the system includes theoretical concepts and practical hands-on exercises. It will help you to understand data analytics.

Instructor Expertise

Research the instructor’s background and expertise. Find out if they have extensive industry experience and solid academic knowledge in data analytics. A knowledgeable and experienced instructor can provide valuable insights and real-world examples that enhance your learning experience.

Course Duration and Flexibility

Consider the duration and flexibility of the course. Determine whether you prefer a short-term intensive program or a longer period that allows for self-paced learning. Assess your availability and commitments to choose a course that fits your schedule.

Learning Platform

The learning platform is another great option to consider. Look for platforms that offer interactive learning experiences, access to course materials, and opportunities for collaboration with other learners. A user-friendly platform can turn learning into a fun task while making boring things enjoyable.

Accreditation and Certification

Determine whether the course is accredited and offers a recognized certification upon completion. Accreditation ensures that the system meets specific quality standards. Also, a certificate can add value to your resume and increase your job prospects in data analytics.

Cost and Value

Finally, consider the cost of the course and the value it offers. Compare the prices of different classes and weigh them against the content, instructor expertise, and accreditation. The course must provide a good return on investment in terms of the knowledge and skills you will gain.

Disclosure

You’ll find some affiliate links, but they won’t impact you in any way. If you decide to buy something after clicking one, I could earn a small fee. I’ve looked at all the courses I mentioned and you can trust my views to be fair and honest. Your support helps keep this blog going.

1. Google Data Analytics Professional Certificate

At the top of the list, Google Data Analytics Professional Certificate is a comprehensive program. It is designed to equip individuals with the necessary skills to grow in data analytics.

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This certificate program offers a structured curriculum that covers various aspects of data analysis. Also, provide learners with hands-on experience using industry-standard tools and techniques.

At a Glance

• Ratings: 4.8 ⭐
• Instructor: Google Career Certificates
• Shareable certificate on Linkedin: Yes
• Number of Reviews: (119,325 reviews)
• Flexible schedule: Learn at your own pace
• Beginner level: Recommended experience
• Content-Length: 6 months at 10 hours a week

Here are some key points about the Google Data Analytics Professional Certificate:

Skill Development

This program focuses on developing essential skills in data analysis, including data cleaning, data visualization, data transformation, and data analysis techniques. These skills are in high demand across industries and are vital for making informed business decisions.

Industry-Relevant Curriculum

The curriculum is designed in a way by industry experts and covers various topics, such as SQL, Python programming, data visualization, and statistical analysis. Also, it emphasizes real-world data analytics applications, allowing learners to gain practical experience.

Flexible Learning Format

The Data Analytics Professional Certificate is offered online, making it accessible to learners worldwide. The self-paced nature of the program allows individuals to learn at their convenience, fitting the coursework around their existing commitments.

Hands-On Experience

A significant aspect of this certificate program is the opportunity to work on real-world projects. Learners will have access to large data sets and be guided through analyzing and interpreting data, enabling them to build a strong portfolio of practical experience.

Industry Recognition

The Google Data Analytics Professional Certificate is recognized by employers globally. Completing the program portrays your commitment to developing data analysis skills.

https://www.coursera.org/professional-certificates/google-data-analytics 

2. IBM Data Analyst Professional Certificate

Secondly, the IBM Data Analyst Professional Certificate is an excellent program that provides individuals with the necessary skills and knowledge. It will help you to excel in data analysis.

At a Glance

• Ratings: 4.7 ⭐
• Number of Reviews: (14,320 reviews)
• Shareable certificate on Linkedin: Yes
• Flexible schedule: Learn at your own pace
• Recommended experience: Beginner level
• Content-Length: 4 months at 10 hours a week

Number of Instructors: 9

• Ramesh Sannareddy
• Sandip Saha Joy
• Hima Vasudevan
• Joseph Santarcangelo
• Azim Hirjani
• Saishruthi Swaminathan
• Rav Ahuja
• Dr. Pooja
• Kevin McFaul
• Steve Ryan

Here are some key points about the certificate program, along with how it has benefited me in my professional experience:

Comprehensive Curriculum

It offers a comprehensive curriculum that covers various aspects of data analysis, including data visualization, data cleaning, data manipulation, and predictive modeling. This ensures that professionals gain a deep understanding of the subject matter.

Hands-on Experience

The certificate program targets practical learning through hands-on projects and real-world case studies. This approach allows learners to apply the concepts they have learned practically.

Industry-Relevant Tools

This program teaches learners how to use industry-relevant tools such as Python, SQL, and Tableau. These tools are widely used in the field of data analysis, and proficiency in them is highly sought after by employers.

Professional Network

IBM Data Analyst Professional Certificate allows learners to connect with a global community of data professionals. This network allows individuals to learn from their peers, share insights, and stay updated with the latest trends. 

Recognized Certification

Upon completion of the program, participants receive an IBM-issued professional certificate. This certification holds significant value in the job market and is a testament to one’s expertise in data analysis.

In my experience, the IBM Data Analyst Professional Certificate has been instrumental in advancing my career. The program equipped me with the skills to collect, analyze, and interpret data effectively.

Through the hands-on projects, I gained practical experience working with real-world datasets and improving my problem-solving abilities.

https://www.coursera.org/professional-certificates/ibm-data-analyst 

3. Microsoft Excel – Advanced Excel Formulas & Functions

In this course on Microsoft Excel Excel Formulas & Functions, you will learn powerful techniques to use spreadsheet skills. Discover how to leverage complex formulas and functions to perform advanced calculations. Analyze data more effectively, and automate tasks easily.

At a Glance

• Ratings: 4.6 ⭐
• Course Status: Best Seller
• Number of students: 353,037+
• Number of Reviews: 84,489+ ratings
• Flexible schedule: Learn at your own pace
• Recommended experience: Beginner level
• Shareable certificate on Linkedin: Optional

With practical examples and step-by-step tutorials, you’ll gain the expertise needed to take your Excel skills to the next level.

In this course, you get:

• You can use it forever
• 4 things you can download to use
• You get a certificate when you finish
• You can access it on your phone or TV
• Twelve articles to help you learn more
• 9.5 hours of videos you can watch anytime you want

Further, you can master essential functions like VLOOKUP, INDEX, MATCH, and IFERROR, and explore advanced formulas. For instance nested IF statements, array formulas, and conditional formatting.

Here’s what you’ll be mastering:

• Become a Microsoft Excel & business intelligence expert and learn 75+ formulas.
• Discover how to REALLY understand Excel and create super useful Excel formulas easily.
• Make your work in Excel much easier, faster, and more efficient.
• Become a real Excel expert with insider tricks that you won’t find in any other course.
• Enjoy engaging demos from a top Excel teacher.
• Access project files, quizzes, exercises, and expert help anytime you need them, for life.
• Learn advanced stuff like smart functions for different situations, even the fancy-sounding XLOOKUP and Dynamic Arrays.

https://www.udemy.com/course/excel-for-analysts/ 

4. Data Analysis with Pandas and Python

Data Analysis with Pandas and Python has been an invaluable skill that has opened up numerous opportunities for me in data science. By learning to use Pandas and Python for data analysis, you can also gain a competitive edge in today’s data-driven world.

At A Glance

• Ratings: 4.6 ⭐
• Course Status: Best Seller
• Instructor: Boris Paskhaver
• Number of Reviews: 20,242+
• Number of students: 186,245+

Those who want to excel in their skills and are interested in gaining more insights into Pandas should go for it.

In this course, you’ll find:

• 7 things you can download
• Forty articles with extra info
• You can use it for as long as you like
• 32 practice coding exercises to learn
• You’ll get a certificate when you finish
• 21.5 hours of videos you can watch when you want

https://www.udemy.com/course/data-analysis-with-pandas/ 

5. SQL for NEWBS: Weekender Crash Course

SQL stands for Structured Query Language. It is a programming language used to manage and manipulate relational databases. SQL allows users to store, retrieve, and manipulate data efficiently.

At A Glance 

• Ratings: 4.5 ⭐
• Best for: All Levels
• Number of Reviews: 15,152+
• Number of students: 72,140 students
• Instructors: David Kim & Peter Sefton

In this course, you will learn the basics of SQL, including database creation, querying, and data manipulation. Yet, students will learn how to write SQL queries to retrieve specific data from a database

Since Learning SQL is essential for anyone interested in working with databases. The course is designed to be completed over a weekend, making it perfect for busy individuals.

This course includes:

• 4 articles
• Full lifetime access
• Certificate of completion
• Access on mobile and TV
• 3.5 hours of on-demand video

Also, it covers topics such as table creation, data insertion, and data deletion using SQL. The crash course includes hands-on exercises and quizzes to reinforce the concepts learned.

https://www.udemy.com/course/sql-for-newbs/?kw=SQL+for+NEWBS%3A+Weekender+Crash+Course&src=sac

6. Complete Introduction to Business Data Analysis

The course begins with Excel, which is great for those who are new to data analysis. It covers basic to advanced techniques for manipulating and visualizing data, offering a solid foundation.

Then it smoothly transitions into SQL, where you learn how to query databases to pull the information that is crucial for your analysis.

At a Glance

• Ratings: 4.6 ⭐
• Instructor: Ian Littlejohn
• Certificate of completion: Yes
• Number of Reviews:  (14,951 reviews)
• Number of students: 42,806 students

Since, Python and R are also part of the curriculum, focusing on statistical analysis and machine learning. These programming languages are highly regarded in the industry.

While the course does a great job of breaking down complex topics into easy-to-understand segments. It’s impressive how the course manages to cover these languages in a way that doesn’t overwhelm you.

This course includes:

• 3.5 hours of on-demand video
• 12 articles
• 5 downloadable resources
• Access on mobile and TV
• Full lifetime access

https://www.udemy.com/course/the-complete-introduction-to-business-data-analysis/ 

7. The Data Analyst Course: Complete Data Analyst Bootcamp

As a data analyst, it is important to have a strong foundation in various analytical techniques and tools. The Complete Data Analyst Bootcamp isn’t just another program; think of it as your all-in-one toolkit.

Whether you are a beginner or an experienced professional, the Data Analyst Course: Complete Data Analyst Bootcamp is designed to help you enhance your analytical skills and advance your career in the field of data analysis.

From the basics to the nitty-gritty, this bootcamp lays down the roadmap for you to become a data whiz! With this course, you’re not just learning—you’re gearing up for success in the changing data landscape.

At A Glance 

• Ratings: 4.5 ⭐
• Course Status: Best Seller
• Number of reviews: 10,624+
• Number of students: 84,599+
• Certificate of completion: Yes
• Instructor’s Name: 365 Careers (Agency)

This course will provide you with a deep understanding of data analysis, allowing you to derive valuable insights from complex datasets.

Throughout the course, you will learn various analytical techniques, such as data cleaning, data visualization, and statistical analysis.

Additionally, you will gain hands-on experience in using popular data analysis tools like Python, R, and SQL. By the end of the course, you will be well-equipped to confidently tackle real-world data analysis projects.

Further, this course includes:

• 16 articles
• Full lifetime access
• 195 coding exercises
• Access on mobile and TV
• 143 downloadable resources
• 20.5 hours on-demand video

Bonus: Learning Python for Data Analysis and Visualization Ver 1

Learning Python for Data Analysis and Visualization Ver 1 is a comprehensive guide designed to help individuals. You can master Python for data analysis and visualization purposes.

At a Glance

• Rating: 4.2 ⭐
• Course Status: Best Seller
• Number of Reviews: 19,223+
• Number of students: 198,749+
• Instructor Name: Jose Portilla

This version focuses on providing step-by-step instructions and practical examples for better understanding. Whether you are a beginner or an experienced programmer, this resource will cover all the necessary skills to leverage Python learning.

In this course, you’ll find:

• 3 informative articles.
• Access on mobile and TV.
• 4 resources you can download.
• 21 hours of video you can watch anytime.
• Lifetime access, so you can revisit the content whenever you need.

 You’ll become adept at using Jupyter Notebook and will improve your Python programming skills. The course also covers array manipulation with the numpy library and offers a variety of data analysis. Overall, it’s a single pack for anyone looking to perform extra.

Here’s what you’ll learn:

• Work with Jupyter Notebook.
• Get pretty good at Python programming.
• Play around with arrays using the Numpy library.
• Build a collection of different data analysis projects.
• Make cool data charts using Matplotlib and Seaborn.
• Get comfortable with data using the Pandas module in Python.
• Handle different types of data in Python, like JSON, HTML, and Excel.

https://www.udemy.com/course/learning-python-for-data-analysis-and-visualization/ 

Wrap up

After going through an array of data analysis courses, I can confidently say that any new learner will leap after following the right direction. At this point, you have a great idea about all of the above-mentioned courses.

Now it’s up to you, whether to go for a short duration or take a coffee and consume the long ones.  Each course brings something unique to the table, whether it’s a focus on Python programming, data visualization, or specialized tools like Jupyter Notebook. Also, don’t expect to get a job after completing and getting certification. It’s just the first stair you move upward, there are many left to climb.

Good Luck and keep learning!